no code implementations • 26 Jun 2024 • Akshay Chaturvedi, Kate Thompson, Nicholas Asher
When engaging in collaborative tasks, humans efficiently exploit the semantic structure of a conversation to optimize verbal and nonverbal interactions.
no code implementations • 26 Jun 2024 • Kate Thompson, Akshay Chaturvedi, Julie Hunter, Nicholas Asher
This paper provides the first discourse parsing experiments with a large language model(LLM) finetuned on corpora annotated in the style of SDRT (Segmented Discourse Representation Theory Asher, 1993; Asher and Lascarides, 2003).
no code implementations • LREC 2020 • Ilyes Rebai, Sami Benhamiche, Kate Thompson, Zied Sellami, Damien Laine, Jean-Pierre Lorr{\'e}
In this paper, we present LinTO, an intelligent voice platform and smart room assistant for improving efficiency and productivity in business.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
no code implementations • IJCNLP 2019 • Sonia Badene, Kate Thompson, Jean-Pierre Lorr{\'e}, Nicholas Asher
We show that on our task the generative model outperforms both deep learning architectures as well as more traditional ML approaches when learning discourse structure{---}it even outperforms the combination of deep learning methods and hand-crafted features.
no code implementations • ACL 2019 • Sonia Badene, Kate Thompson, Jean-Pierre Lorr{\'e}, Nicholas Asher
This paper investigates the advantages and limits of data programming for the task of learning discourse structure.